Gene expression profiling using microarrays has been limited to comparisons of gene expression between small numbers of samples within individual experiments.
Previous versions of this method rely upon cuvette-based fluorimeters for detection that are limited by large sample volumes and small numbers of samples that can be measured simultaneously.
The rumen microbial ecosystem is a critical factor that links diets to bovine physiology and productivity; however, information about dietary effects on microbial populations has generally been limited to small numbers of samples and qualitative assessment.
While the difference was statistically significant, the size of the difference varied widely from study to study, and the data was based on the testing of small numbers of samples.
This has great importance when extrapolating test results with relatively small numbers of samples (dozens at most) to the case of a modern processor that may have hundreds of thousands of potential failure sites (Lloyd et al. 2006).
These investigations are clearly limited by the small numbers of samples studied.
The Two-sample Wilcoxon rank-sum (Mann-Whitney) test was used to compare small numbers of samples.
Most of these studies have been based on relatively homogeneous datasets consisting of comparably small numbers of samples.
Our observation on genetic complexity may be limited by the relatively small numbers of samples sequenced and small fragments analyzed rather than full length genomes.
Existing African studies of antimalarial quality are restricted to relatively small numbers of samples, collected in limited geographical areas, generally using convenience sampling.
